Howard Hughes Holdings (HHH) Price to Sales (2023 - 2026)
Howard Hughes Holdings' (HHH) Price to Sales came in at 1.80 for Q2 2026, down 20.6% from 2.26 a year earlier and down 28.0% from the prior quarter.
Analysis
Howard Hughes Holdings (HHH) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Howard Hughes Holdings' Price to Sales stood at 3.21, up 45.8% from FY2024.
- In prior years, Howard Hughes Holdings' Price to Sales was 2.20 in FY2024 (-51.0%), 4.49 in FY2023 (+84.3%), 2.44 in FY2022 (-36.2%) and 3.82 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Price to Sales in data going back to Q2 2023.
- On a year-over-year basis, Price to Sales increased in two of the last eight quarters, with an average decline of 13.8%.
- The strongest year-over-year quarter for Price to Sales in the past five years was Q4 2025, with growth of 45.8%; the weakest was Q4 2024, with a decline of 51.0%.
- According to Business Quant data, Price to Sales for the three prior quarters was 2.50 (Q1 2026), 3.21 (Q4 2025) and 2.66 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.35 Bn | 22.18 Bn | - |
| 2 | LandBridge | 6.08 Bn | 6.42 Bn | - |
| 3 | St Joe | 3.85 Bn | 3.35 Bn | 73.42 Mn |
| 4 | ETF Managers Trust | 3.80 Bn | -3.56 Bn | - |
| 5 | Millrose Properties | 3.68 Bn | 3.32 Bn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.22 Bn | 2.03 Bn | - |
| 7 | Opendoor Technologies | 1.92 Bn | -1.90 Bn | 86.00 Mn |
| 8 | Forestar | 1.33 Bn | -20.06 Mn | 84.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.80 |
| Mar 31, 2026 | 2.50 |
| Dec 31, 2025 | 3.21 |
| Sep 30, 2025 | 2.66 |
| Jun 30, 2025 | 2.26 |
| Mar 31, 2025 | 2.08 |
| Dec 31, 2024 | 2.20 |
| Sep 30, 2024 | 3.59 |
| Jun 30, 2024 | 3.16 |
| Mar 31, 2024 | 3.94 |
| Dec 31, 2023 | 4.49 |
| Sep 30, 2023 | 3.69 |
| Jun 30, 2023 | 3.10 |
API Access
Howard Hughes Holdings Price to Sales API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-sales&ticker=HHH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "HHH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-sales&ticker=HHH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();